diff --git a/TTS/utils/arguments.py b/TTS/utils/arguments.py
index 9dc1c596..5fd4cf3f 100644
--- a/TTS/utils/arguments.py
+++ b/TTS/utils/arguments.py
@@ -18,16 +18,11 @@ from TTS.utils.tensorboard_logger import TensorboardLogger
 def parse_arguments(argv):
     """Parse command line arguments of training scripts.
 
-    Parameters
-    ----------
-    argv : list
-        This is a list of input arguments as given by sys.argv
-
-    Returns
-    -------
-    argparse.Namespace
-        Parsed arguments.
+    Args:
+        argv (list): This is a list of input arguments as given by sys.argv
 
+    Returns:
+        argparse.Namespace: Parsed arguments.
     """
     parser = argparse.ArgumentParser()
     parser.add_argument(
@@ -45,7 +40,8 @@ def parse_arguments(argv):
     parser.add_argument(
         "--best_path",
         type=str,
-        help="Best model file to be used for extracting best loss.",
+        help=("Best model file to be used for extracting best loss."
+              "If not specified, the latest best model in continue path is used"),
         default="")
     parser.add_argument(
         "--config_path",
@@ -77,21 +73,14 @@ def get_last_models(path):
     It is based on globbing for `*.pth.tar` and the RegEx
     `(checkpoint|best_model)_([0-9]+)`.
 
-    Parameters
-    ----------
-    path : list
-        Path to files to be compared.
+    Args:
+        path (list): Path to files to be compared.
 
-    Raises
-    ------
-    ValueError
-        If no checkpoint or best_model files are found.
-
-    Returns
-    -------
-    last_checkpoint : str
-        Last checkpoint filename.
+    Raises:
+        ValueError: If no checkpoint or best_model files are found.
 
+    Returns:
+        last_checkpoint (str): Last checkpoint filename.
     """
     file_names = glob.glob(os.path.join(path, "*.pth.tar"))
     last_models = {}
@@ -131,8 +120,8 @@ def process_args(args, model_type):
 
     Args:
         args (argparse.Namespace or dict like): Parsed input arguments.
-        model_type (str): Model type used to check config parameters and setup the TensorBoard
-            logger. One of:
+        model_type (str): Model type used to check config parameters and setup
+            the TensorBoard logger. One of:
                 - tacotron
                 - glow_tts
                 - speedy_speech
@@ -141,15 +130,16 @@ def process_args(args, model_type):
                 - wavernn
 
     Raises:
-        ValueError
-            If `model_type` is not one of implemented choices.
+        ValueError: If `model_type` is not one of implemented choices.
 
     Returns:
         c (TTS.utils.io.AttrDict): Config paramaters.
         out_path (str): Path to save models and logging.
         audio_path (str): Path to save generated test audios.
-        c_logger (TTS.utils.console_logger.ConsoleLogger): Class that does logging to the console.
-        tb_logger (TTS.utils.tensorboard.TensorboardLogger): Class that does the TensorBoard loggind.
+        c_logger (TTS.utils.console_logger.ConsoleLogger): Class that does
+            logging to the console.
+        tb_logger (TTS.utils.tensorboard.TensorboardLogger): Class that does
+            the TensorBoard loggind.
     """
     if args.continue_path:
         args.output_path = args.continue_path